This notebook contains a set of analyses for analyzing Quinns’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
Quinns | training | published before 2020 | 207 | 393 |
Quinns | validation | published 2020 | 14 | 21 |
Quinns | test | published after 2020 | 8 | 12 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
Quinns | Fantasy Flight Games | 11.6% | 1.1% | 10.76 |
Quinns | ZMan Games | 9.2% | 1.4% | 6.69 |
Quinns | Pegasus Spiele | 14.0% | 2.1% | 6.66 |
Quinns | Deduction Game | 10.6% | 5.0% | 2.10 |
Quinns | Ravensburger | 3.9% | 2.5% | 1.57 |
Quinns | Dice Rolling | 23.7% | 28.5% | 0.83 |
Quinns | Memory Mechanic | 2.4% | 4.5% | 0.54 |
Quinns | Travel | 0.5% | 1.0% | 0.46 |
Quinns | Wargame | 6.3% | 18.8% | 0.33 |
Quinns | Movies TV Radio Theme | 1.4% | 5.0% | 0.29 |
Quinns | Childrens Game | 1.0% | 8.1% | 0.12 |
Quinns | Roll Spin And Move | 0.5% | 6.8% | 0.07 |
Quinns | Stock Holding | 0.0% | 1.4% | 0.00 |
Quinns | Educational | 0.0% | 2.4% | 0.00 |
Quinns | Zombies | 0.0% | 1.0% | 0.00 |
Quinns | Ancient Rome | 0.0% | 1.2% | 0.00 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.989 | no |
2 | 2016 | 205059 | Mansions of Madness: Second Edition | 0.816 | no |
3 | 2018 | 199792 | Everdell | 0.809 | no |
4 | 2019 | 281946 | Aftermath | 0.808 | no |
5 | 2018 | 205896 | Rising Sun | 0.797 | no |
6 | 2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.794 | no |
7 | 2011 | 70919 | Takenoko | 0.775 | no |
8 | 2012 | 126750 | Sky Tango | 0.757 | no |
9 | 2002 | 4098 | Age of Steam | 0.736 | no |
10 | 2019 | 286096 | Tapestry | 0.727 | no |
11 | 2017 | 220308 | Gaia Project | 0.706 | yes |
12 | 2018 | 244711 | Newton | 0.676 | no |
13 | 2014 | 132531 | Roll for the Galaxy | 0.653 | yes |
14 | 2008 | 37111 | Battlestar Galactica: The Board Game | 0.632 | yes |
15 | 2016 | 196340 | Yokohama | 0.625 | no |
16 | 2015 | 155624 | Specter Ops | 0.621 | no |
17 | 2016 | 171131 | Captain Sonar | 0.612 | no |
18 | 1997 | 42 | Tigris & Euphrates | 0.610 | yes |
19 | 2012 | 120677 | Terra Mystica | 0.609 | no |
20 | 2006 | 21882 | Blue Moon City | 0.602 | no |
21 | 2007 | 28143 | Race for the Galaxy | 0.592 | yes |
22 | 2013 | 143693 | Glass Road | 0.589 | no |
23 | 2009 | 45134 | Arcana | 0.586 | no |
24 | 2017 | 174430 | Gloomhaven | 0.573 | no |
25 | 2000 | 475 | Taj Mahal | 0.570 | no |
26 | 2018 | 235544 | Specter Ops: Broken Covenant | 0.570 | no |
27 | 2017 | 205597 | Jump Drive | 0.567 | no |
28 | 2017 | 230059 | Crossfire | 0.499 | no |
29 | 2016 | 169786 | Scythe | 0.487 | no |
30 | 2012 | 104363 | Rex: Final Days of an Empire | 0.482 | no |
31 | 2016 | 184919 | Greedy Greedy Goblins | 0.478 | no |
32 | 2014 | 150926 | Roll Through the Ages: The Iron Age | 0.477 | no |
33 | 2003 | 6472 | A Game of Thrones | 0.469 | no |
34 | 2019 | 253344 | Cthulhu: Death May Die | 0.466 | no |
35 | 2019 | 265736 | Tiny Towns | 0.452 | yes |
36 | 2019 | 285984 | Last Bastion | 0.451 | no |
37 | 2013 | 144239 | Impulse | 0.450 | no |
38 | 2010 | 73439 | Troyes | 0.449 | no |
39 | 2017 | 224212 | Red Scare | 0.441 | no |
40 | 2011 | 96848 | Mage Knight Board Game | 0.430 | no |
41 | 2019 | 274364 | Watergate | 0.424 | no |
42 | 2018 | 259809 | Sonar Family | 0.421 | no |
43 | 2018 | 255692 | New Frontiers | 0.420 | yes |
44 | 2012 | 117914 | Milestones | 0.410 | no |
45 | 2010 | 25292 | Merchants & Marauders | 0.407 | no |
46 | 2019 | 272453 | KeyForge: Age of Ascension | 0.401 | no |
47 | 2016 | 155821 | Inis | 0.399 | no |
48 | 2011 | 108783 | Dr. Shark | 0.394 | no |
49 | 2010 | 82702 | Funfair | 0.393 | no |
50 | 2006 | 25613 | Through the Ages: A Story of Civilization | 0.392 | no |
51 | 2015 | 181279 | Fury of Dracula (Third/Fourth Edition) | 0.390 | no |
52 | 2008 | 39463 | Cosmic Encounter | 0.388 | no |
53 | 2011 | 103649 | The City | 0.384 | no |
54 | 1999 | 47 | Chinatown | 0.383 | no |
55 | 2019 | 259081 | Machi Koro Legacy | 0.373 | no |
56 | 2016 | 187645 | Star Wars: Rebellion | 0.370 | yes |
57 | 2019 | 285774 | Marvel Champions: The Card Game | 0.367 | yes |
58 | 2015 | 181304 | Mysterium | 0.363 | no |
59 | 2004 | 2651 | Power Grid | 0.349 | no |
60 | 2019 | 264220 | Tainted Grail: The Fall of Avalon | 0.336 | no |
61 | 2014 | 156129 | Deception: Murder in Hong Kong | 0.333 | no |
62 | 2016 | 198928 | Pandemic: Iberia | 0.329 | no |
63 | 2011 | 103343 | A Game of Thrones: The Board Game (Second Edition) | 0.326 | yes |
64 | 2016 | 167791 | Terraforming Mars | 0.324 | yes |
65 | 2010 | 73171 | Earth Reborn | 0.323 | no |
66 | 2014 | 157354 | Five Tribes | 0.320 | no |
67 | 2014 | 145371 | Three Kingdoms Redux | 0.320 | yes |
68 | 1992 | 118 | Modern Art | 0.317 | yes |
69 | 2019 | 285775 | KeyForge: Worlds Collide | 0.316 | no |
70 | 2000 | 903 | Hamsterrolle | 0.314 | no |
71 | 2008 | 37380 | Roll Through the Ages: The Bronze Age | 0.313 | no |
72 | 2019 | 274638 | Unmatched: Robin Hood vs. Bigfoot | 0.313 | no |
73 | 2018 | 257501 | KeyForge: Call of the Archons | 0.309 | no |
74 | 2015 | 171630 | Drakon (Fourth Edition) | 0.306 | no |
75 | 2019 | 264052 | Circadians: First Light | 0.302 | no |
76 | 2004 | 9609 | War of the Ring | 0.302 | no |
77 | 2012 | 129736 | Cockroach Poker Royal | 0.301 | yes |
78 | 2018 | 242639 | Treasure Island | 0.300 | yes |
79 | 1997 | 24 | Twilight Imperium | 0.299 | no |
80 | 2010 | 83667 | First Train to Nuremberg | 0.298 | no |
81 | 2018 | 313010 | Cosmic Encounter: 42nd Anniversary Edition | 0.297 | no |
82 | 2006 | 14808 | Marvel Heroes | 0.295 | no |
83 | 2019 | 266507 | Clank!: Legacy – Acquisitions Incorporated | 0.294 | no |
84 | 2016 | 205637 | Arkham Horror: The Card Game | 0.285 | yes |
85 | 2014 | 146886 | La Granja | 0.279 | no |
86 | 2004 | 9220 | Saboteur | 0.276 | no |
87 | 2019 | 274637 | Unmatched: Battle of Legends, Volume One | 0.274 | yes |
88 | 2019 | 260710 | Amul | 0.272 | no |
89 | 2018 | 209324 | The World of SMOG: Rise of Moloch | 0.271 | no |
90 | 2016 | 192945 | Coal Baron: The Great Card Game | 0.270 | no |
91 | 1995 | 112 | Condottiere | 0.267 | yes |
92 | 2010 | 70916 | Rockband Manager | 0.261 | no |
93 | 2015 | 176920 | Mission: Red Planet (Second Edition) | 0.260 | no |
94 | 2008 | 38707 | Bushido: Der Weg des Kriegers | 0.259 | no |
95 | 2012 | 117915 | Yedo | 0.255 | no |
96 | 2012 | 121408 | Trains | 0.253 | yes |
97 | 2019 | 269385 | The Lord of the Rings: Journeys in Middle-Earth | 0.252 | no |
98 | 2016 | 207336 | Honshū | 0.251 | no |
99 | 2018 | 256570 | Crown of Emara | 0.250 | no |
100 | 2018 | 245654 | Railroad Ink: Deep Blue Edition | 0.250 | yes |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.86 |
Decision Tree | roc_auc | binary | 0.70 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think Quinns is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2017 | 233078 | Twilight Imperium: Fourth Edition | 0.989 | no |
2016 | 205059 | Mansions of Madness: Second Edition | 0.816 | no |
2018 | 199792 | Everdell | 0.809 | no |
2019 | 281946 | Aftermath | 0.808 | no |
2018 | 205896 | Rising Sun | 0.797 | no |
What games does the model think Quinns is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
1970 | 5519 | Air Charter | 0.000 | yes |
2016 | 192547 | Go Cuckoo! | 0.000 | yes |
1966 | 5894 | Twister | 0.000 | yes |
2018 | 262547 | Don't Get Got! | 0.001 | yes |
2011 | 91536 | Quarriors! | 0.001 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Robinson Crusoe: Adventures on the Cursed Island | Glass Road | Roll for the Galaxy | Specter Ops | Mansions of Madness: Second Edition | Twilight Imperium: Fourth Edition | Everdell | Aftermath |
2 | Sky Tango | Impulse | Roll Through the Ages: The Iron Age | Fury of Dracula (Third/Fourth Edition) | Yokohama | Gaia Project | Rising Sun | Tapestry |
3 | Terra Mystica | Rococo | Deception: Murder in Hong Kong | Mysterium | Captain Sonar | Gloomhaven | Newton | Cthulhu: Death May Die |
4 | Rex: Final Days of an Empire | A Study in Emerald | Five Tribes | Drakon (Fourth Edition) | Scythe | Jump Drive | Specter Ops: Broken Covenant | Tiny Towns |
5 | Milestones | Legacy: The Testament of Duke de Crecy | Three Kingdoms Redux | Mission: Red Planet (Second Edition) | Greedy Greedy Goblins | Crossfire | Sonar Family | Last Bastion |
6 | Cockroach Poker Royal | Pelican Bay | La Granja | Pandemic Legacy: Season 1 | Inis | Red Scare | New Frontiers | Watergate |
7 | Yedo | Tash-Kalar: Arena of Legends | DungeonQuest Revised Edition | Blood Rage | Star Wars: Rebellion | Downforce | KeyForge: Call of the Archons | KeyForge: Age of Ascension |
8 | Trains | Thunderstone: Starter Set | Onirim (Second Edition) | Treasure Hunter | Pandemic: Iberia | Santo Domingo | Treasure Island | Machi Koro Legacy |
9 | Keyflower | Carcassonne: South Seas | Fields of Arle | 7 Wonders Duel | Terraforming Mars | Richard the Lionheart | Cosmic Encounter: 42nd Anniversary Edition | Marvel Champions: The Card Game |
10 | Merchant of Venus (Second Edition) | Ghost Blitz: 5 to 12 | Orléans | 504 | Arkham Horror: The Card Game | Altiplano | The World of SMOG: Rise of Moloch | Tainted Grail: The Fall of Avalon |
11 | Android: Netrunner | Ultimate Werewolf: Inquisition | Kill Shakespeare | Grand Austria Hotel | Coal Baron: The Great Card Game | First Martians: Adventures on the Red Planet | Crown of Emara | KeyForge: Worlds Collide |
12 | The Resistance: Avalon | Room 25 | Deus | City of Spies: Estoril 1942 | Honshū | Spirit Island | Railroad Ink: Deep Blue Edition | Unmatched: Robin Hood vs. Bigfoot |
13 | Clash of Cultures | Patchistory | Kakerlakentanz | SteamRollers | Citadels | Unfinished Case of Holmes | AuZtralia | Circadians: First Light |
14 | Edo | Bruxelles 1893 | Age of War | Lanterns: The Harvest Festival | SeaFall | A Handful of Stars | Duelosaur Island | Clank!: Legacy – Acquisitions Incorporated |
15 | Mafia: Vendetta | Time 'n' Space | Dead of Winter: A Crossroads Game | Forbidden Stars | Robo Rally | Pandemic Legacy: Season 2 | Coimbra | Unmatched: Battle of Legends, Volume One |
16 | Il Vecchio | Relic | Istanbul | Bad Bunnies | Junta: Las Cartas | Whitehall Mystery | Railways of Nippon | Amul |
17 | Descent: Journeys in the Dark (Second Edition) | Bremerhaven | Nations: The Dice Game | A Study in Emerald (Second Edition) | Camel Up Cards | The 7th Continent | Architects of the West Kingdom | The Lord of the Rings: Journeys in Middle-Earth |
18 | Wiz-War (Eighth Edition) | BattleLore: Second Edition | AquaSphere | Sylvion | New Angeles | Hunt for the Ring | Blackout: Hong Kong | Paladins of the West Kingdom |
19 | Starship Merchants | Thunderstone Advance: Numenera | Chimera | Mombasa | Port Royal: Unterwegs! | Wendake | Magic: The Gathering – Heroes of Dominaria Board Game | Slyville |
20 | Pax Porfiriana | Kohle & Kolonie | Roll Through the Ages: The Iron Age with Mediterranean Expansion | Neanderthal | Black Orchestra | SpyNet | Concordia Venus | Maracaibo |
21 | Space Cadets | Futterneid | Star Wars: Imperial Assault | Warhammer Quest: The Adventure Card Game | Aeon's End | Dragonfire | Renegade | Nanty Narking |
22 | Escape: The Curse of the Temple | Blood Bound | Thunderstone Advance: Worlds Collide | Liguria | Ghost Blitz: Spooky Doo | Legend of the Five Rings: The Card Game | The Grizzled: Armistice Edition | Silver & Gold |
23 | Winter Tales | Lewis & Clark: The Expedition | Akrotiri | The Game | Codenames: Deep Undercover | Paku Paku | Underwater Cities | Pipeline |
24 | Samurai Sword | Circus Train (Second Edition) | Ultimate Werewolf | Runebound (Third Edition) | Covert | Paper Tales | Fast Forward: FORTUNE | The Scarlet Pimpernel |
25 | Kairo | Train Heist | Grog Island | Viticulture Essential Edition | Cry Havoc | Sagrada | The Pirate Republic | Unmatched Game System |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
Quinns | owned | validation | GLM | roc_auc | 0.752 |
Quinns | owned | validation | Decision Tree | roc_auc | 0.510 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.445 | no |
2020 | 184267 | On Mars | 0.367 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.333 | no |
2020 | 281655 | High Frontier 4 All | 0.320 | no |
2020 | 301880 | Raiders of Scythia | 0.317 | no |
2020 | 256317 | Guild Master | 0.293 | no |
2020 | 298572 | Cosmic Encounter Duel | 0.272 | no |
2020 | 301607 | KeyForge: Mass Mutation | 0.267 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.263 | no |
2020 | 302809 | Betrayal at Mystery Mansion | 0.259 | no |
2020 | 318084 | Furnace | 0.249 | no |
2020 | 296151 | Viscounts of the West Kingdom | 0.242 | no |
2020 | 246900 | Eclipse: Second Dawn for the Galaxy | 0.231 | yes |
2020 | 294484 | Unmatched: Cobble & Fog | 0.208 | no |
2020 | 286749 | Hansa Teutonica: Big Box | 0.193 | no |
2020 | 318983 | Faiyum | 0.190 | no |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.186 | no |
2020 | 300001 | Renature | 0.181 | no |
2020 | 310442 | Feierabend | 0.180 | no |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.174 | no |
2020 | 302723 | Forgotten Waters | 0.163 | no |
2020 | 297030 | Tekhenu: Obelisk of the Sun | 0.155 | no |
2020 | 313008 | Apollo: A Game Inspired by NASA Moon Missions | 0.148 | no |
2020 | 287033 | Gray Eminence | 0.145 | no |
2020 | 316377 | 7 Wonders (Second Edition) | 0.139 | no |
2020 | 298638 | Sheriff of Nottingham: 2nd Edition | 0.133 | no |
2020 | 293014 | Nidavellir | 0.129 | no |
2020 | 297892 | Dodelido Extreme | 0.125 | no |
2020 | 283155 | Calico | 0.125 | no |
2020 | 281466 | Yedo: Deluxe Master Set | 0.120 | no |
2020 | 296626 | Sonora | 0.120 | no |
2020 | 295646 | Spyfest | 0.117 | no |
2020 | 315954 | Hunt A Killer: Death at the Dive Bar | 0.115 | no |
2020 | 322809 | Diabolik: Heists and Investigations | 0.115 | no |
2020 | 318977 | MicroMacro: Crime City | 0.113 | no |
2020 | 282922 | Windward | 0.112 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.108 | no |
2020 | 296100 | Rococo: Deluxe Edition | 0.106 | yes |
2020 | 317985 | Beyond the Sun | 0.105 | no |
2020 | 293556 | Gloomy Graves | 0.102 | no |
2020 | 256999 | Project: ELITE | 0.099 | no |
2020 | 298371 | Wild Space | 0.098 | no |
2020 | 317105 | Tiny Epic Galaxies BLAST OFF! | 0.097 | no |
2020 | 279537 | The Search for Planet X | 0.096 | yes |
2020 | 316412 | The LOOP | 0.096 | no |
2020 | 316750 | The Princess Bride Adventure Book Game | 0.077 | no |
2020 | 325555 | Cantaloop: Book 1 – Breaking into Prison | 0.074 | no |
2020 | 301767 | Mysterium Park | 0.073 | no |
2020 | 293889 | Fallout Shelter: The Board Game | 0.072 | no |
2020 | 320819 | Dinner in Paris | 0.071 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2021 | 339906 | The Hunger | 0.527 | no |
2 | 2022 | 310873 | Carnegie | 0.514 | no |
3 | 2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.497 | no |
4 | 2022 | 317511 | Tindaya | 0.445 | no |
5 | 2022 | 256680 | Return to Dark Tower | 0.353 | no |
6 | 2021 | 343905 | Boonlake | 0.293 | no |
7 | 2021 | 338834 | MicroMacro: Crime City – Full House | 0.259 | no |
8 | 2021 | 326804 | Rorschach | 0.246 | no |
9 | 2021 | 344277 | Corrosion | 0.243 | no |
10 | 2021 | 340466 | Unfathomable | 0.239 | no |
11 | 2021 | 329670 | Pandemic: Hot Zone – Europe | 0.235 | no |
12 | 2021 | 304783 | Hadrian's Wall | 0.234 | no |
13 | 2021 | 221298 | NewSpeak | 0.233 | no |
14 | 2022 | 295770 | Frosthaven | 0.227 | no |
15 | 2021 | 316080 | KeyForge: Dark Tidings | 0.224 | no |
16 | 2022 | 335764 | Unmatched: Battle of Legends, Volume Two | 0.223 | no |
17 | 2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.187 | no |
18 | 2022 | 283137 | Human Punishment: The Beginning | 0.176 | no |
19 | 2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.172 | no |
20 | 2021 | 342942 | Ark Nova | 0.172 | no |
21 | 2021 | 346553 | Heuschrecken Poker | 0.168 | no |
22 | 2021 | 309319 | Apogee | 0.167 | no |
23 | 2021 | 249277 | Brazil: Imperial | 0.167 | no |
24 | 2021 | 338980 | Eastern Empires | 0.164 | no |
25 | 2022 | 319807 | Shogun no Katana | 0.162 | no |
26 | 2022 | 346199 | A Game of Thrones: B'Twixt | 0.160 | no |
27 | 2022 | 273814 | Deliverance | 0.159 | no |
28 | 2023 | 349793 | Age of Rome | 0.157 | no |
29 | 2021 | 328286 | Mission ISS | 0.156 | no |
30 | 2022 | 266064 | Trudvang Legends | 0.154 | no |
31 | 2021 | 339789 | Welcome to the Moon | 0.151 | no |
32 | 2021 | 324957 | The Snallygaster Situation: Kids on Bikes Board Game | 0.144 | no |
33 | 2022 | 288080 | Dice Realms | 0.140 | no |
34 | 2021 | 322708 | Descent: Legends of the Dark | 0.138 | no |
35 | 2022 | 251661 | Oathsworn: Into the Deepwood | 0.138 | no |
36 | 2022 | 322524 | Bardsung | 0.135 | no |
37 | 2022 | 340325 | Vagrantsong | 0.134 | no |
38 | 2022 | 305096 | Endless Winter: Paleoamericans | 0.134 | no |
39 | 2021 | 338760 | Imperial Steam | 0.123 | no |
40 | 2021 | 328859 | Hula-Hoo! | 0.121 | no |
41 | 2022 | 315610 | Massive Darkness 2: Hellscape | 0.119 | no |
42 | 2021 | 293835 | Oltréé | 0.116 | no |
43 | 2021 | 325698 | Juicy Fruits | 0.111 | no |
44 | 2022 | 338067 | 6: Siege – The Board Game | 0.110 | no |
45 | 2022 | 271601 | Feed the Kraken | 0.109 | no |
46 | 2021 | 328569 | Mint Bid | 0.108 | no |
47 | 2021 | 286751 | Zombicide: 2nd Edition | 0.107 | no |
48 | 2021 | 339484 | Savannah Park | 0.107 | no |
49 | 2021 | 299255 | Vienna Connection | 0.105 | no |
50 | 2021 | 308566 | Nova Lux | 0.105 | no |
51 | 2021 | 344258 | That Time You Killed Me | 0.104 | no |
52 | 2021 | 300148 | Spy Connection | 0.104 | no |
53 | 2021 | 283387 | Rocketmen | 0.104 | no |
54 | 2021 | 285967 | Ankh: Gods of Egypt | 0.100 | no |
55 | 2021 | 332944 | Sobek: 2 Players | 0.099 | no |
56 | 2021 | 340455 | King of the Valley | 0.095 | no |
57 | 2021 | 291847 | Mantis Falls | 0.092 | no |
58 | 2021 | 318709 | For Sale Autorama | 0.089 | no |
59 | 2022 | 308028 | Drop Drive | 0.088 | no |
60 | 2021 | 319792 | Fly-A-Way | 0.087 | no |
61 | 2021 | 309250 | Empyrean Hero: The Card Game | 0.086 | no |
62 | 2022 | 347703 | First Rat | 0.083 | no |
63 | 2021 | 340909 | Gloomholdin' | 0.083 | no |
64 | 2022 | 311988 | Frostpunk: The Board Game | 0.083 | no |
65 | 2021 | 257435 | Brick & Mortar | 0.081 | yes |
66 | 2021 | 314589 | Night Parade of a Hundred Yokai | 0.079 | no |
67 | 2021 | 342073 | Berried Treasure | 0.079 | no |
68 | 2023 | 337627 | Voidfall | 0.078 | no |
69 | 2021 | 331635 | Kameloot | 0.078 | no |
70 | 2021 | 322588 | Origins: First Builders | 0.077 | no |
71 | 2021 | 330036 | Great Plains | 0.076 | no |
72 | 2021 | 316287 | Quest | 0.074 | no |
73 | 2022 | 332393 | Bridge City Poker | 0.071 | no |
74 | 2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.069 | no |
75 | 2021 | 330608 | Cryo | 0.067 | no |
76 | 2022 | 333255 | Keep the Heroes Out! | 0.067 | no |
77 | 2021 | 265635 | Space Race | 0.066 | no |
78 | 2021 | 340237 | Wonder Book | 0.065 | no |
79 | 2021 | 295947 | Cascadia | 0.065 | no |
80 | 2022 | 331106 | The Witcher: Old World | 0.064 | no |
81 | 2021 | 331685 | Hit the Silk! | 0.064 | no |
82 | 2021 | 298069 | Cubitos | 0.063 | yes |
83 | 2021 | 259066 | Commands & Colors: Samurai Battles | 0.063 | no |
84 | 2022 | 242994 | Onimaru | 0.061 | no |
85 | 2021 | 316786 | Tabannusi: Builders of Ur | 0.061 | no |
86 | 2021 | 297562 | Kemet: Blood and Sand | 0.061 | no |
87 | 2022 | 324894 | Free Radicals | 0.059 | no |
88 | 2021 | 306202 | Philosophia: Floating World | 0.059 | no |
89 | 2022 | 305462 | The Age of Atlantis | 0.059 | no |
90 | 2021 | 313262 | Shamans | 0.058 | no |
91 | 2021 | 298378 | Maharaja | 0.058 | no |
92 | 2021 | 322014 | All-Star Draft | 0.058 | no |
93 | 2022 | 277025 | Vampire: The Masquerade – Chapters | 0.058 | no |
94 | 2021 | 295535 | Dark Ages: Heritage of Charlemagne | 0.058 | no |
95 | 2021 | 304985 | Dark Ages: Holy Roman Empire | 0.058 | no |
96 | 2022 | 326933 | Unmatched: Redemption Row | 0.058 | no |
97 | 2022 | 326934 | Unmatched: Hell's Kitchen | 0.058 | no |
98 | 2021 | 266448 | Imperium: The Contention | 0.057 | no |
99 | 2021 | 341169 | Great Western Trail (Second Edition) | 0.057 | no |
100 | 2021 | 344408 | Full Throttle! | 0.057 | no |